Monitoring Dust Storms in Iraq Using Satellite Data

Dust storms can suspend large quantities of sand and cause haze in the boundary layer over local and regional scales. Iraq is one of the countries that is often impacted to a large degree by the occurrences of dust storms. The time between June 29 to July 8, 2009 is considered one of the worst dust...

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Main Authors: Reyadh Albarakat, Venkataraman Lakshmi
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/17/3687
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spelling doaj-09cc2fac3d8c4af98ae9e6a1587fe2942020-11-24T21:50:01ZengMDPI AGSensors1424-82202019-08-011917368710.3390/s19173687s19173687Monitoring Dust Storms in Iraq Using Satellite DataReyadh Albarakat0Venkataraman Lakshmi1School of Earth, Ocean and Environment, University of South Carolina, Columbia, SC 29208, USADepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, Charlottesville, VA 22904, USADust storms can suspend large quantities of sand and cause haze in the boundary layer over local and regional scales. Iraq is one of the countries that is often impacted to a large degree by the occurrences of dust storms. The time between June 29 to July 8, 2009 is considered one of the worst dust storm periods of all times and many Iraq is suffered medical problems as a result. We used data from the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS Surface Reflectance Daily L2G Global 1 km and 500 m data were utilized to calculate the Normalized Difference Dust Index (NDDI). The MYD09GA V006 product was used to monitor, map, and assess the development and spread of dust storms over the arid and semi-arid territories of Iraq. We set thresholds for NDDI to distinguish between water and/or ice cloud and ground features and dust storms. In addition; brightness temperature data (TB) from the Aqua /MODIS thermal band 31 were analyzed to distinguish sand on the land surface from atmospheric dust. We used the MODIS level 2 MYD04 deep blue 550 nm Aerosol Option Depth (AOD) data that maintains accuracy even over bright desert surfaces. We found NDDI values lower than 0.05 represent clouds and water bodies, while NDDI greater than 0.18 correspond to dust storm regions. The threshold of TB of 310.5 K was used to distinguish aerosols from the sand on the ground. Approximately 75% of the territory was covered by a dust storm in 5 July 2009 due to strong and dry northwesterly winds.https://www.mdpi.com/1424-8220/19/17/3687sand and dust stormMODISAerosol Optical DepthIraqwind speed
collection DOAJ
language English
format Article
sources DOAJ
author Reyadh Albarakat
Venkataraman Lakshmi
spellingShingle Reyadh Albarakat
Venkataraman Lakshmi
Monitoring Dust Storms in Iraq Using Satellite Data
Sensors
sand and dust storm
MODIS
Aerosol Optical Depth
Iraq
wind speed
author_facet Reyadh Albarakat
Venkataraman Lakshmi
author_sort Reyadh Albarakat
title Monitoring Dust Storms in Iraq Using Satellite Data
title_short Monitoring Dust Storms in Iraq Using Satellite Data
title_full Monitoring Dust Storms in Iraq Using Satellite Data
title_fullStr Monitoring Dust Storms in Iraq Using Satellite Data
title_full_unstemmed Monitoring Dust Storms in Iraq Using Satellite Data
title_sort monitoring dust storms in iraq using satellite data
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-08-01
description Dust storms can suspend large quantities of sand and cause haze in the boundary layer over local and regional scales. Iraq is one of the countries that is often impacted to a large degree by the occurrences of dust storms. The time between June 29 to July 8, 2009 is considered one of the worst dust storm periods of all times and many Iraq is suffered medical problems as a result. We used data from the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS Surface Reflectance Daily L2G Global 1 km and 500 m data were utilized to calculate the Normalized Difference Dust Index (NDDI). The MYD09GA V006 product was used to monitor, map, and assess the development and spread of dust storms over the arid and semi-arid territories of Iraq. We set thresholds for NDDI to distinguish between water and/or ice cloud and ground features and dust storms. In addition; brightness temperature data (TB) from the Aqua /MODIS thermal band 31 were analyzed to distinguish sand on the land surface from atmospheric dust. We used the MODIS level 2 MYD04 deep blue 550 nm Aerosol Option Depth (AOD) data that maintains accuracy even over bright desert surfaces. We found NDDI values lower than 0.05 represent clouds and water bodies, while NDDI greater than 0.18 correspond to dust storm regions. The threshold of TB of 310.5 K was used to distinguish aerosols from the sand on the ground. Approximately 75% of the territory was covered by a dust storm in 5 July 2009 due to strong and dry northwesterly winds.
topic sand and dust storm
MODIS
Aerosol Optical Depth
Iraq
wind speed
url https://www.mdpi.com/1424-8220/19/17/3687
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